🚨Highly recommend familiarizing yourself with the details of this thread.

Understand how the game is being played.

This is BIG.

#China #CCP #MSM #Propaganda

Unroll thread & share on all platforms please.

@CNN @nytimes @washingtonpost @MSNBC @Forbes @Newsweek @business @Reuters @ABC @TheEconomist @TIME @WSJ @BBCWorld @TheAtlantic @latimes @thehill @NPR +many others involved

DOJ filings reveal propaganda operation spanning over a decade between establishment media outlets & China.
From @RaheemKassam & @nataliegwinters at The National Pulse:

'Every. Major. Media. Outlet. In. America.'

⚠️Western media is COMPROMISED⚠️

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EXCLUSIVE: All Major Western Media Outlets Take ‘Private Dinners’, ‘Sponsored Trips’ From Chinese Communist Propaganda Front - published DEC 29, 2020/NATALIE WINTERS @nataliegwinters https://t.co/JZhO6voTr6
https://t.co/avr4ifAUi7
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More from Government

Canada is failing to act on Climate Change. @wef @WorldBank @IMFNews @IPCC_CH @UNDPGAIN @AntiCorruptIntl @Pontifex @JustinWelby @OCCRP @StopCorpAbuse @TaxJusticeNet @FairTaxCanada @ecojustice_ca @WCELaw @CanEnvLawAssn @envirodefence @IBA_Canada #cdnpoli


Covid recovery money is going to the oligarchy.

Ottawa and the provinces have put very little on the table to help clean-tech companies directly during Covid 19 while targeting fossil-fuel producers with more than $16 billion in aid.

Coast to coast people have demanded treaties be honored. We demanded climate action, divestment and land back but Canada is not listening. This video shows 10 years of rallies in Waterloo Ontario. City & regional council declared a climate emergency. 🚨

The Bank of China (BOC), SNC-Lavalin and WE Charity were recipients of taxpayer-funded the Covid 19 Canadian Emergency Wage Subsidy (CEWS)
Which metric is a better predictor of the severity of the fall surge in US states?

1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020

Can you guess which plot is which?


The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.

However, there is a *strong* correlation when using the margin of Biden's victory (right).

Infections % from
https://t.co/WcXlfxv3Ah.


This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.

Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.

But political lean.

One can argue that states that lean Democrat are more likely to implement restrictions/mandates.

This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.

We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).

https://t.co/BxBBKwW6ta


To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.

This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!

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